IDEAS home Printed from https://ideas.repec.org/a/uii/jcauii/v2y2020i2p72-80.html
   My bibliography  Save this article

Comparative analysis of Z-score, Springate, and Zmijewski models in predicting financial distress conditions

Author

Listed:
  • Reni Yendrawati
  • Nafil Adiwafi

    (Department of Accounting, Universitas Islam Indonesia, Yogyakarta, Indonesia
    Department of Accounting, Universitas Islam Indonesia, Yogyakarta, Indonesia)

Abstract

This study aims at finding the accuracy level of financial distress prediction on companies in the property, real estate, and building construction sectors. The financial distress prediction models employed here are Z-score, Springate, and Zmijewski. The research population involved all property companies registered at the Indonesian Stock Exchange in the period of 2014-2018. Purposive sampling was used to collect 45 companies. The number of observations taken was 225. The data used were the secondary data taken from the Indonesian Stock Exchange website. The findings showed that the models with high accuracy to predict financial distress in the property, real estate, and building construction sector were the Altman Z-Score model, followed by Zmijewski and Springate models.

Suggested Citation

  • Reni Yendrawati & Nafil Adiwafi, 2020. "Comparative analysis of Z-score, Springate, and Zmijewski models in predicting financial distress conditions," Journal of Contemporary Accounting, Master in Accounting Program, Faculty of Business & Economics, Universitas Islam Indonesia, Yogyakarta, Indonesia, vol. 2(2), pages 72-80, May.
    • Handle: RePEc:uii:jcauii:v:2:y:2020:i:2:p:72-80
    DOI: 10.20885/jca.vol2.iss2.art2
    as

    Download full text from publisher

    File URL: https://journal.uii.ac.id/JCA/article/download/18410/11120
    Download Restriction: no
    File URL: https://journal.uii.ac.id/JCA/article/view/18410
    Download Restriction: no
    File URL: https://libkey.io/10.20885/jca.vol2.iss2.art2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yuni Nustini & Ahmad Rijal Amiruddin, 2019. "Altman Model For Measuring Financial Distress: Comparative Analysis Between Sharia And Conventional Insurance Companies," Journal of Contemporary Accounting, Master in Accounting Program, Faculty of Business & Economics, Universitas Islam Indonesia, Yogyakarta, Indonesia, vol. 1(3), pages 161-172, May.
    2. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    3. Platt, Harlan D. & Platt, Marjorie B., 2006. "Understanding Differences Between Financial Distress and Bankruptcy," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 2(2), pages 1-17.
    4. Yuni Nustini & Ahmad Rijal Amiruddin, 2019. "Altman model for measuring financial distress: Comparative analysis between sharia and conventional insurance companies," Journal of Contemporary Accounting, Master in Accounting Program, Faculty of Business & Economics, Universitas Islam Indonesia, Yogyakarta, Indonesia, vol. 1(3), pages 161-172.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rini Cahyandari & Kalfin & Sukono & Sri Purwani & Dewi Ratnasari & Titin Herawati & Sutiono Mahdi, 2023. "The Development of Sharia Insurance and Its Future Sustainability in Risk Management: A Systematic Literature Review," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    2. Ugur, Mehmet & Solomon, Edna & Zeynalov, Ayaz, 2022. "Leverage, competition and financial distress hazard: Implications for capital structure in the presence of agency costs," Economic Modelling, Elsevier, vol. 108(C).
    3. Luca Ianni & Gianluca Marullo & Stefania Migliori & Francesco De Luca, 2021. "I modelli predittivi della crisi e dell?insolvenza aziendale. Una systematic review," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2021(2), pages 127-146.
    4. Li, Chunyu & Lou, Chenxin & Luo, Dan & Xing, Kai, 2021. "Chinese corporate distress prediction using LASSO: The role of earnings management," International Review of Financial Analysis, Elsevier, vol. 76(C).
    5. Harlan Platt & Marjorie Platt, 2002. "Predicting corporate financial distress: Reflections on choice-based sample bias," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 26(2), pages 184-199, June.
    6. Richardson, Grant & Taylor, Grantley & Lanis, Roman, 2015. "The impact of financial distress on corporate tax avoidance spanning the global financial crisis: Evidence from Australia," Economic Modelling, Elsevier, vol. 44(C), pages 44-53.
    7. Garcia-Blandon, Josep & Argiles-Bosch, Josep Maria & Castillo-Merino, David & Martinez-Blasco, Monica, 2017. "An Assessment of the Provisions of Regulation (EU) No 537/2014 on Non-audit Services and Audit Firm Tenure: Evidence from Spain," The International Journal of Accounting, Elsevier, vol. 52(3), pages 251-261.
    8. Md. Borhan Uddin Bhuiyan & Solomon Opare & Zahir Ahmed, 2024. "Does Audit Committee Busyness Affect Financial Restatement? Evidence from Audit Committee Share Ownership," Australian Accounting Review, CPA Australia, vol. 34(1), pages 29-54, March.
    9. Meles, Antonio & Salerno, Dario & Sampagnaro, Gabriele & Verdoliva, Vincenzo & Zhang, Jianing, 2023. "The influence of green innovation on default risk: Evidence from Europe," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 692-710.
    10. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    11. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    12. Minhas Akbar & Ahsan Akbar & Petra Maresova & Minghui Yang & Hafiz Muhammad Arshad, 2020. "Unraveling the Bankruptcy Risk‒Return Paradox across the Corporate Life Cycle," Sustainability, MDPI, vol. 12(9), pages 1-19, April.
    13. Elizabeth Demers & Philip Joos, 2007. "IPO Failure Risk," Journal of Accounting Research, Wiley Blackwell, vol. 45(2), pages 333-371, May.
    14. Ali Uyar & Simone Pizzi & Fabio Caputo & Cemil Kuzey & Abdullah S. Karaman, 2022. "Do shareholders reward or punish risky firms due to CSR reporting and assurance?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(5), pages 1596-1620, July.
    15. Campa, Domenico & Camacho-Miñano, María-del-Mar, 2015. "The impact of SME’s pre-bankruptcy financial distress on earnings management tools," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 222-234.
    16. Koresh Galil & Neta Gilat, 2019. "Predicting Default More Accurately: To Proxy or Not to Proxy for Default?," International Review of Finance, International Review of Finance Ltd., vol. 19(4), pages 731-758, December.
    17. Zeineb Affes & Rania Hentati-Kaffel, 2016. "Forecast bankruptcy using a blend of clustering and MARS model - Case of US banks," Post-Print halshs-01314553, HAL.
    18. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    19. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    20. Dirk‐Emma Baestaens, 1999. "Credit risk modeling strategies: the road to serfdom?," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 8(4), pages 225-235, December.

    More about this item

    Keywords

    Altman Z-Score; Springate; Zmijewski; financial distress.;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:uii:jcauii:v:2:y:2020:i:2:p:72-80. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ana Yuliani (email available below). General contact details of provider: https://journal.uii.ac.id/JCA/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.